WEX Inc. Logo

WEX Inc.

Software Development Engineer 3- AI & Agentic Systems

Posted 27 Days Ago
In-Office
San Francisco, CA, USA
122K-146K Annually
Entry level
In-Office
San Francisco, CA, USA
122K-146K Annually
Entry level
Design and own AI-powered services, multi-agent workflows, cloud infrastructure, integrations, and CI/CD pipelines. Lead architecture, reliability, security, incident response, and root-cause resolution. Partner with product managers on non-functional requirements and technical prioritization. Mentor engineers, conduct code reviews, facilitate design decisions, and promote internal adoption of AI tools and agentic technologies.
The summary above was generated by AI
About the Role

At WEX, a Software Development Engineer (SDE) Level 3 is a senior technical leader who designs complete services, solves complex integration problems, and drives the lifecycle of major initiatives from end to end.

In this role, you will directly participate in WEX’s fast-paced AI-driven opportunities, acting as a key builder and strategist for next-generation technology. You will champion internal AI adoption by helping build AI-powered sofrware (using tools such as Google Gemini, AWS Agent Core, Claude, and other third-party agentic integrations) while sharing education and coaching within the organization.

What You’ll Do

AI & Agentic Engineering

  • Agentic Workflows: Design and deploy multi-agent workflows within AWS Agent Core, effectively handling state management, memory persistence, and complex tool interactions.

  • AI Leadership & Enablement: Help drive internal education and coaching initiatives for tools with as Google Gemini Enterprise; collaborate with external AI partners on new agentic opportunities.
     

Architecture & System Design

  • End-to-End Ownership: Design, build, and own the lifecycle of entire services and cross-platform integrations. Solve complex system gaps and drive overarching audit strategies.

  • Strategic Data Orchestration: Make critical trade-off decisions on data orchestration (e.g., MCP/API, Agents/Skills) based on robust data and requirements.

  • Resilient Design: Build systems that handle failure gracefully by implementing retries, circuit breakers, and fallbacks. Ensure all designs are testable and maintainable long-term.

  • Security First: Review code for security flaws and ensure all services adhere strictly to WEX’s authentication standards (e.g., OAuth scopes).
     

Cloud Infrastructure, Reliability & CI/CD

  • Cost-Aware Cloud Architecture: Design reliable cloud infrastructure (e.g., auto-scaling groups, failover strategies) while proactively avoiding resource over-provisioning.

  • Deployment & Environment Management: Own the automated deployment package and metadata framework. Write scripts or automation manifests to deploy configurations cleanly across sandbox tiers, preventing environment drift.

  • CI/CD Optimization: Build and optimize CI/CD pipelines, focusing heavily on reducing build times and tightening feedback loops.

  • Root Cause Resolution: Capable of solving complex bugs (intermittent issues, race conditions, memory leaks), ensuring the root cause is fixed permanently.

  • Incident & Operations Leadership: Own Incidents for your services during outages. Create step-by-step triage runbooks and playbooks that empower Tier 1/2 helpdesk teams or junior analysts to resolve common platform errors without escalation.
     

Product Partnership & Technical Leadership

  • Requirement Definition: Partner with Product Managers who define Functional requirements by owning the Non-Functional requirements (Performance, Security, Scalability) needed to meet business KPIs.

  • Backlog & Scope Negotiation: Work with PMs to prioritize the backlog, explicitly negotiating the inclusion of "Tech Debt" and "Refactoring" by explaining long-term business risks. Negotiate "Must Haves" vs. "Nice to Haves" to ensure sprint achievability.

  • Solution-Oriented Mindset: You don't say "No"; you say "Not like that." You offer alternative solutions that respect time and budget constraints.

  • Empathic Mentorship & Review: Enforce strict quality standards during code reviews with empathy ("Check tone"). Reject sloppy or brittle "quick fixes" while setting the organizational standard for clean design patterns. Proactively mentor SDE 1s and 2s, delegating work specifically to help them grow.

  • Consensus Building: Facilitate data-driven discussions to resolve engineering disagreements, effectively de-escalating "religious wars" about technology and ensuring "quiet" voices are heard in design meetings.

  • Continuous Learning: Rapidly learn and apply new languages or frameworks, lead knowledge-sharing sessions, seek out critical feedback, and context-switch effectively across workstreams when project parameters change.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $121,500.00 - $145,500.00

Similar Jobs

3 Hours Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
144K-205K Annually
Senior level
144K-205K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Owns end-to-end enterprise DSPM delivery, including multi-cloud architecture, data connector deployment, classification pipelines, security policies, identity controls, Zero Trust integrations, troubleshooting, and customer consulting. Partners with engineering, product, sales, and enterprise customers to reduce cloud data risks, support AI governance, and optimize Zscaler security solutions across complex environments.
Top Skills: AWSAzureBigQueryCloud IamDatabricksGCPNoSQLOauth2PythonRbacRest ApisSAMLSaseScimSharepointSmbSnowflakeSQLSseSsoZero TrustZscaler ZdxZscaler ZiaZscaler Zpa
4 Hours Ago
Remote or Hybrid
United States
160K-180K Annually
Senior level
160K-180K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.
Top Skills: AWSAzureDatabricksDbtDelta LakeGCPGraphQLLlmsPower BIRagRestSnowflakeSnowflake Unity CatalogTableau
5 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
122K-218K Annually
Senior level
122K-218K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Leads Samsara’s recruiting operations function, overseeing recruiting coordination and operations managers. Owns the end-to-end operating model, recruiting technology transformation, AI and automation strategy, change management, data-driven performance improvement, executive stakeholder partnerships, and team development. The role requires extensive recruiting operations experience, people leadership including managing managers, and hands-on experience with AI-enabled workflows and recruiting technology transitions.
Top Skills: AIAi-Augmented WorkflowsAutomationHr PlatformsLlm ApisPrompt EngineeringRecruiting Platforms

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account